Event recognition is an active research area in machine learning. It has numerous potential applications such as video surveillance [1]}, autonomous driving [2]}, sports analysis [3]}, and content-based retrieval [4]}. Thanks to the collection of large video datasets such as YouTube-8M [5]}, Kinetics [6]} and Sports-1M [7]}, event recognition performance has improved during recent years. However, compared to the success of image classification, event recognition is still a challenging task due to the high computational complexity. The current state-of-the-art performance remains not as accurate as human performance.
